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This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data.;
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the mathematics behind multivariate statistical analysis, the book focuses on the application of analysis to real-world situations. After;
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field observations and experiments, this book is a valuable resource to students and researchers dealing with both simple and complex ecological;
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of multivariate field data. Permits ecologists to understand, not just mechanically use, pre-packaged programs for multivariate analysis. Demonstrates;
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less widely appreciated, is the change in emphasis of theoretical work on multivariate analysis, away from the development of formal;
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Ecologists are making increasing use of computer methods in analyzing ecological data on plant and animal communities. Ecological problems;
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book on quantitative analysis of multivariate ecological data Relates ecological questions to methods of statistical analysis, with a;
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field Following the highly successful and much lauded book, Time Series Analysis-Univariate and Multivariate Methods, this new work by;
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This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non;
Vergelijkbare producten zoals Analyzing Ecological Data
This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non;
Vergelijkbare producten zoals Analyzing Ecological Data
This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the;
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Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis;
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For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;
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For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;
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For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;
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For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. The;
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The most accessible introduction to the theory and practice of multivariate analysis Multivariate Statistical Inference and Applications;
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plant communities; induction and deduction of plant ecology; diversity indices and dominance diversity curves; multivariate analysis in ecology;
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This book provides an introduction to the analysis of multivariate data.It describes multivariate probability distributions, the;
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by theory. The robust techniques are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor;
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Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling;
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Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling shows;
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A readable and user-friendly presentation of multivariate analysis A common and important statistical technique, multivariate analysis;
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This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both;
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comprehensive and clearly written text on multivariate analysis from a theoretical point of view' - The Statistician . Aspects of Multivariate;
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The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted;
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This book on multivariate models, statistical inference, and data analysis contains deep coverage of multivariate non-normal distributions;
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